- Manufacturing customers have been piloting programs for years, with little scaled success to show, which has driven hesitancy and resistance to drive real change
- Using purpose built AI solutions combined with industry expertise and dedicated customer success and support teams, manufacturers are finding high ROI and value, rapidly, and which can actually be scaled to any size organization
- Assets aren’t all equal to your business, so your Machine Health program should be able to match the importance of your assets to your bottom line to help you do more than just eliminate unplanned downtime, but transform how you work and manage assets, processes and ultimately, production
Chris Dobbrow
Vice President, Process Health
Augury
Chris Dobbrow is a passionate advocate for lifelong learning and innovation, dedicated to partnering with industry leaders in digital manufacturing to drive transformative growth. With over 25 years of experience in technology and media, he has spent the past decade focused on AI-driven Industrial IoT, including more than five years at Augury. Chris has a proven track record of growing top-line revenue and EBITDA, leading full P&L operations exceeding $200 million. His expertise spans strategic enterprise sales, high-performing team development, and organizational transformation. He excels in forging strategic partnerships and executing forward-thinking strategies that drive sustainable success.
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Augury helps eliminate downtime, reduce maintenance costs and maximize productivity for critical machines in industrial and commercial applications ranging from bottling and food processing to paper products and pharmaceuticals. Our Machine Health solutions combine advanced sensors with powerful AI capabilities and collaboration tools to help teams understand when machines are at risk. And we provide the expertise so customers know what to do to prevent failures- long before those risks can threaten production or productivity. To learn more about Augury’s Machine Health solutions, visit augury.com.
